• DocumentCode
    3125963
  • Title

    An analysis of activities in Facebook

  • Author

    Nguyen, Khanh ; Tran, Duc A.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts - Boston, Boston, MA, USA
  • fYear
    2011
  • fDate
    9-12 Jan. 2011
  • Firstpage
    388
  • Lastpage
    392
  • Abstract
    Human dynamics in real-world social networks has been a long lasting topic of research. Recently, the rapid growing of online social networks with their data made accessible has given researchers a door of opportunity to study large-scale social networks. Facebook has been the largest, most influential, and fastest growing social network on the Internet to date. As Facebook´s userbase is extremely diverse, spreading across different countries, races, ages, professions, and interests, to name a few, this network is a good model to study our society. In this paper, we present an analysis of a regional Facebook dataset, with attention given to the correlation among user connectivity, activity, and similarity.
  • Keywords
    social networking (online); Facebook; Internet; human dynamics; online social networks; real-world social networks; Complex networks; Conferences; Correlation; Erbium; Facebook; Internet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference (CCNC), 2011 IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8789-9
  • Type

    conf

  • DOI
    10.1109/CCNC.2011.5766497
  • Filename
    5766497